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C++ implementation of "Efficient limited time reachability estimation in temporal networks"

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CxAalto/event-graph

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Static Event Graphs: Out-component size measurement and more

Visit the Github repository for the most recent version of this code-base.

Compiling

A recent (C++17 compatible) version of GCC is required. To compile the executables just use make.

A general purpose executable with double-precision floating-point time type and 32-bit unsigned integer vertex names:

make largest_out_component
make network_stats

Executables specifically tuned to mobile data-set with 32-bit unsigned integer times and vertex names:

make largest_out_component_mobile
make network_stats_mobile

Executables specifically tuned to transport data-set with 32-bit unsigned integer times, vertex names and delayes:

make largest_out_component_transport
make network_stats_transport

A random temporal network generator for use with the first executable:

make random_network

Using the implementation

You can give the executable an event file (--network path/to/file) with each line containing one event formatted as v1 v2 time or generate a random network with given parameters for you. You can check the available options and output options using:

./largest_out_component{,_mobile,_transport} -h
./network_stats{,_mobile,_transport} -h
./random_network{,_mobile,_transport} -h

Input format

Event list files (via --network argument) should be a list of events formatted as v1 v2 time or v1 v2 time delay separated by newlines and with no header row. Here's the first few lines of an example random network:

73 0 0.143728
114 0 0.143728
311 0 0.143728
648 0 0.143728
784 0 0.143728
958 0 0.143728
9 1 0.143728
105 1 0.143728
553 1 0.143728
48 2 0.143728

You can also generate random networks using the provided random_network tool:

./random_network --seed 1 --average-degree 9 \
    --node 10 --max-t 128 --bursty --barabasi > random.events

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C++ implementation of "Efficient limited time reachability estimation in temporal networks"

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